Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A method comprising: receiving an identifier for a first clothing item; in response to receiving the identifier, transmitting an instruction referencing a description of an internal shape of the first clothing item to a fitting device; causing, using one or more hardware processors, the fitting device to adjust according to the description of the internal shape of the first clothing item, the adjusting of the fitting device resulting in a mimicked internal shape of the first clothing item; receiving, via a user interface, input pertaining to a fit of the first clothing item based on the causing of the fitting device to adjust according to the description of the internal shape of the first clothing item; and causing, based on the input, display of a recommendation of a second clothing item in the user interface.
The invention relates to a system for simulating the fit of clothing items using a physical fitting device. The problem addressed is the difficulty in accurately assessing how a clothing item will fit without physically trying it on. The solution involves a method that receives an identifier for a clothing item, such as a garment, and retrieves a digital description of its internal shape. This description is sent to a fitting device, which adjusts its internal structure to mimic the shape of the clothing item. A user then interacts with the device to evaluate the fit, providing feedback on comfort, tightness, or other fit-related factors. Based on this feedback, the system recommends a second clothing item that may offer a better fit. The fitting device may include adjustable components, such as inflatable chambers or mechanical actuators, to replicate the internal dimensions of the garment. The system aims to improve the accuracy of online clothing purchases by providing a physical simulation of fit before buying. The method ensures that user feedback directly influences recommendations, enhancing personalization and reducing return rates.
2. The method of claim 1 , further comprising: identifying one or more attributes of the first clothing item; and identifying the second clothing item based on the one or more attributes of the first clothing item.
This invention relates to a system for recommending complementary clothing items to users. The problem addressed is the difficulty users face in selecting clothing items that match or complement each other, often leading to mismatched outfits or wasted time browsing options. The solution involves analyzing attributes of a selected clothing item and using those attributes to identify and recommend a second clothing item that pairs well with the first. The method begins by receiving a selection of a first clothing item from a user. The system then identifies one or more attributes of the first clothing item, such as color, style, fabric, or design elements. These attributes are used to determine compatibility with other clothing items in a database. The system then identifies a second clothing item that matches or complements the first based on the analyzed attributes. The recommendation ensures the second item aligns with the first in terms of aesthetics, functionality, or user preferences. The system may also consider additional factors like seasonality, occasion, or user history to refine recommendations. The goal is to provide users with a seamless and efficient way to build coordinated outfits without manual effort.
3. The method of claim 2 , wherein the one or more attributes include at least one of a manufacturer, a model, or a size of the first clothing item.
This invention relates to a system for identifying and matching clothing items based on their attributes. The problem addressed is the difficulty in efficiently finding compatible or similar clothing items in a collection, such as for styling, inventory management, or e-commerce applications. The solution involves analyzing one or more attributes of a first clothing item to determine its characteristics, which can then be used to identify matching or related items. The attributes used for comparison include at least one of the manufacturer, model, or size of the clothing item. These attributes help in categorizing and filtering items to ensure compatibility or similarity. For example, a user searching for a specific brand or model can quickly locate matching items, or a system can automatically suggest complementary pieces based on size or manufacturer. The method may also involve comparing these attributes against a database of clothing items to find matches or generate recommendations. This approach improves the accuracy and efficiency of clothing item identification and matching, particularly in digital platforms where visual or textual searches may be less precise. By focusing on key attributes like manufacturer, model, and size, the system ensures that users or automated processes can reliably find or pair clothing items based on standardized criteria.
4. The method of claim 1 , wherein the input indicates that the first clothing item fits, and wherein the second clothing item matches the first clothing item based on one or more attributes of the first clothing item.
This invention relates to a system for recommending clothing items based on user feedback and attribute matching. The problem addressed is the difficulty of finding compatible clothing items that match existing items in a user's wardrobe, particularly when the user has already confirmed that a specific item fits well. The method involves receiving input indicating that a first clothing item fits the user. The system then identifies a second clothing item that matches the first item based on one or more attributes, such as size, style, color, or fabric. These attributes ensure the second item is compatible with the first, improving the likelihood of a good fit and aesthetic harmony. The system may also consider additional factors like user preferences or seasonal trends to refine recommendations. The method may further include displaying the second clothing item to the user, allowing them to review or purchase it. The system can also track user interactions with recommended items to improve future suggestions. By leveraging confirmed fit data and attribute matching, the invention enhances the efficiency and accuracy of clothing recommendations, reducing the need for trial and error. This approach is particularly useful in e-commerce platforms, virtual fitting rooms, or wardrobe management applications.
5. The method of claim 1 , further comprising: transmitting a further instruction referencing a description of an internal shape of the second clothing item to the fitting device; and causing the fitting device to adjust according to the description of the internal shape of the second clothing item, the adjusting of the fitting device resulting in a mimicked internal shape of the second clothing item.
This invention relates to a system for simulating the fit of clothing items using a fitting device that can dynamically adjust its internal shape to mimic the contours of different garments. The technology addresses the challenge of accurately assessing how a clothing item will fit on a person without physically trying it on, which is particularly useful for online shopping or virtual fitting rooms. The system includes a fitting device that can alter its internal dimensions and contours to replicate the internal shape of a clothing item. The device receives instructions referencing a description of the internal shape of a target garment, such as measurements or a 3D model. Based on this data, the fitting device adjusts its structure to create a mimicked internal shape that closely resembles the garment's interior. This allows a user to experience how the garment would fit by interacting with the adjusted fitting device, providing a realistic simulation of the clothing's fit and comfort. The system may also incorporate additional features, such as adjusting the fitting device to accommodate multiple clothing items simultaneously or dynamically modifying the internal shape in response to user feedback. The goal is to enhance the accuracy of virtual fitting experiences, reducing the need for physical try-ons and improving customer satisfaction in online retail.
6. The method of claim 5 , further comprising: receiving a selection of the recommendation of the second clothing item via the user interface, and wherein the transmitting of the further instruction is performed based on the receiving of the selection of the recommendation of the second clothing item.
This invention relates to a clothing recommendation system that enhances user interaction by dynamically suggesting complementary clothing items. The system addresses the problem of users struggling to find matching or coordinating outfits, particularly when shopping for multiple items. The method involves generating recommendations for a second clothing item based on a first selected item, displaying these recommendations to the user, and allowing the user to select one. Upon selection, the system transmits an instruction to a fulfillment system to prepare the recommended item for purchase or delivery. This ensures that users can easily complete a coordinated outfit without manually searching for compatible pieces. The system may also track user preferences or past selections to refine future recommendations, improving personalization over time. The method integrates with user interfaces and fulfillment systems to streamline the shopping experience, reducing decision fatigue and increasing user satisfaction.
7. The method of claim 1 , wherein the input indicates that the first clothing item does not fit, and wherein the second clothing item is identified based on adjusting one or more attributes associated with the first clothing item.
This invention relates to a system for recommending clothing items based on fit adjustments. The problem addressed is the difficulty users face in finding well-fitting clothing, particularly when an initially selected item does not meet their size or style preferences. The solution involves analyzing user input indicating a poor fit for a first clothing item and then identifying a second clothing item by modifying one or more attributes of the first item. These attributes may include size, dimensions, fabric stretch, or design features. The system may use machine learning or rule-based algorithms to determine the optimal adjustments needed to improve fit. The recommendation process may also consider user preferences, body measurements, or historical purchase data to refine suggestions. The goal is to provide personalized clothing recommendations that better match the user's fit requirements, reducing the need for returns or exchanges. The system may be integrated into e-commerce platforms, virtual try-on applications, or smart fitting room technologies to enhance the shopping experience.
8. A system comprising: one or more hardware processors; and a non-transitory machine-readable medium for storing instructions that, when executed by the one or more hardware processors, cause the one or more hardware processors to perform operations comprising: receiving an identifier for a first clothing item; in response to receiving the identifier, transmitting an instruction referencing a description of an internal shape of the first clothing item to a fitting device; causing the fitting device to adjust according to the description of the internal shape of the first clothing item, the adjusting of the fitting device resulting in a mimicked internal shape of the first clothing item; receiving, via a user interface, input pertaining to a fit of the first clothing item based on the causing of the fitting device to adjust according to the description of the internal shape of the first clothing item; and causing, based on the input, display of a recommendation of a second clothing item in the user interface.
The system addresses the challenge of accurately assessing clothing fit without physically trying on garments. It operates in the domain of virtual fitting and garment recommendation. The system uses a fitting device that can dynamically adjust its internal shape to mimic the dimensions and contours of a clothing item. A user selects a clothing item by providing an identifier, such as a product code or image. The system retrieves a stored description of the item's internal shape and transmits it to the fitting device, which then adjusts its structure to replicate the garment's internal dimensions. The user interacts with the adjusted fitting device to evaluate how well the garment would fit. Based on the user's feedback, the system generates and displays recommendations for other clothing items that may offer a better fit. The system leverages hardware processors and machine-readable instructions to automate the fitting process, reducing the need for physical trials and improving the accuracy of online clothing purchases. The technology enhances e-commerce by providing a more reliable way to assess fit before buying.
9. The system of claim 8 , wherein the operations further comprise: identifying one or more attributes of the first clothing item; and identifying the second clothing item based on the one or more attributes of the first clothing item.
This invention relates to a system for recommending clothing items based on attributes of a selected item. The system addresses the problem of manually searching for compatible or stylistically matching clothing items, which can be time-consuming and inefficient. The system automatically identifies attributes of a first clothing item, such as color, pattern, style, or fabric, and uses these attributes to identify a second clothing item that complements or matches the first. The system may analyze visual features, metadata, or user preferences to determine compatibility. The recommendation process ensures that the second clothing item aligns with the aesthetic or functional characteristics of the first, improving the user experience in selecting coordinated outfits. The system may be part of a larger clothing recommendation platform, integrating with databases of available items to provide real-time suggestions. This approach streamlines the decision-making process for users, reducing the effort required to find matching or complementary clothing.
10. The system of claim 9 , wherein the one or more attributes include at least one of a manufacturer, a model, or a size of the first clothing item.
A system for analyzing and comparing clothing items includes a processor and a memory storing instructions that, when executed, cause the processor to perform operations. The system receives image data of a first clothing item and extracts one or more attributes from the image data. These attributes include at least the manufacturer, model, or size of the first clothing item. The system then compares the extracted attributes with a database of clothing items to identify matching or similar items. The comparison may involve analyzing visual features, textual descriptions, or metadata associated with the clothing items. The system may also generate a recommendation based on the comparison, such as suggesting alternative items or providing styling advice. The system can be used in e-commerce platforms, virtual fitting rooms, or inventory management systems to enhance user experience and operational efficiency. The invention addresses the challenge of accurately identifying and comparing clothing items in digital environments, improving search and recommendation accuracy for users.
11. The system of claim 8 , wherein the input indicates that the first clothing item fits, and wherein the second clothing item matches the first clothing item based on one or more attributes of the first clothing item.
This invention relates to a clothing recommendation system that uses user feedback to improve outfit suggestions. The system addresses the problem of finding compatible clothing items by leveraging user input to determine fit and style preferences. When a user indicates that a first clothing item fits well, the system identifies a second clothing item that matches the first item based on shared attributes such as color, pattern, fabric, or style. The system may also consider user preferences, such as preferred brands or materials, to refine recommendations. Additionally, the system can track user feedback over time to improve future suggestions, ensuring that recommended items align with the user's evolving tastes. The system may operate within a mobile or web application, allowing users to input feedback directly and receive real-time recommendations. By analyzing user interactions and preferences, the system enhances the accuracy of clothing recommendations, reducing the time and effort required to find well-fitting and stylistically compatible items.
12. The system of claim 8 , wherein the operations further comprise: transmitting a further instruction referencing a description of an internal shape of the second clothing item to the fitting device; and causing the fitting device to adjust according to the description of the internal shape of the second clothing item, the adjusting of the fitting device resulting in a mimicked internal shape of the second clothing item.
This invention relates to a system for simulating the internal shape of clothing items using a fitting device. The problem addressed is the difficulty in accurately assessing how a garment fits without physically trying it on, particularly when the internal dimensions and structure of the garment are not visible or easily measurable. The system includes a fitting device that can be adjusted to mimic the internal shape of a clothing item, allowing users to experience how the garment would feel when worn. The system receives a description of the internal shape of a second clothing item, such as dimensions, contours, or structural features, and transmits this information to the fitting device. The fitting device then adjusts its structure to replicate the internal shape of the second clothing item, providing a physical simulation of the garment's fit. This allows users to evaluate comfort, fit, and other wearing characteristics before purchasing or manufacturing the garment. The system may also include a database of clothing item descriptions, enabling users to select and test multiple garments virtually. The fitting device can be a wearable or standalone apparatus that dynamically adjusts its internal dimensions to match the described shape, enhancing the accuracy of the fit simulation.
13. The system of claim 12 , wherein the operations further comprise: receiving a selection of the recommendation of the second clothing item via the user interface, and wherein the transmitting of the further instruction is performed based on the receiving of the selection of the recommendation of the second clothing item.
This invention relates to a clothing recommendation system that provides personalized outfit suggestions and facilitates the acquisition of recommended items. The system addresses the problem of users struggling to find complementary clothing items that match their style preferences or existing wardrobe pieces. The system generates recommendations for a second clothing item based on a first clothing item selected by the user, ensuring the items are compatible in terms of style, color, or other attributes. The system includes a user interface that displays these recommendations and allows the user to select one. Upon selection, the system transmits an instruction to a fulfillment system, such as an e-commerce platform, to initiate the purchase or delivery of the recommended item. This automation streamlines the shopping process by reducing the need for manual searches and comparisons. The system may also consider user preferences, past purchases, or inventory availability when generating recommendations. The overall goal is to enhance the user experience by providing seamless, personalized outfit suggestions and simplifying the acquisition of complementary clothing items.
14. The system of claim 8 , wherein the input indicates that the first clothing item does not fit, and wherein the second clothing item is identified based on adjusting one or more attributes associated with the first clothing item.
This invention relates to a clothing recommendation system that identifies alternative clothing items when a selected item does not fit. The system addresses the problem of users struggling to find well-fitting clothing by dynamically adjusting attributes of an initially chosen item to suggest better-fitting alternatives. The system receives input indicating that a first clothing item does not fit the user. In response, it analyzes the attributes of the first item, such as size, cut, or material, and modifies these attributes to identify a second clothing item that is more likely to fit. The adjustments may include changing dimensions, altering the style, or selecting a different material to improve comfort or fit. The system then presents the second clothing item as a recommended alternative. This approach ensures users receive personalized suggestions based on real-time feedback, enhancing the shopping experience by reducing trial-and-error. The system may integrate with e-commerce platforms or virtual fitting tools to provide seamless recommendations. The invention improves upon traditional static recommendation systems by dynamically adapting to user feedback, ensuring more accurate and user-specific suggestions.
15. A non-transitory machine-readable storage medium comprising instructions that, when executed by one or more hardware processors of a machine, cause the one or more hardware processors to perform operations comprising: receiving an identifier for a first clothing item; in response to receiving the identifier, transmitting an instruction referencing a description of an internal shape of the first clothing item to a fitting device; causing the fitting device to adjust according to the description of the internal shape of the first clothing item, the adjusting of the fitting device resulting in a mimicked internal shape of the first clothing item; receiving, via a user interface, input pertaining to a fit of the first clothing item based on the causing of the fitting device to adjust according to the description of the internal shape of the first clothing item; and causing, based on the input, display of a recommendation of a second clothing item in the user interface.
This invention relates to a system for simulating clothing fit using a programmable fitting device. The problem addressed is the difficulty in determining how a clothing item will fit without physically trying it on, particularly for online shopping or custom garment design. The solution involves a machine-readable storage medium containing instructions for a processor to execute a method. The method receives an identifier for a first clothing item, such as a product code or SKU, and in response, transmits an instruction to a fitting device. This instruction includes a description of the internal shape of the first clothing item, which the fitting device uses to adjust its own shape to mimic the internal dimensions of the clothing item. A user then interacts with the fitting device to assess the fit, providing feedback via a user interface. Based on this feedback, the system generates and displays a recommendation for a second clothing item that may offer a better fit. The system may also store user preferences and fit data to improve future recommendations. The fitting device could be a physical mannequin or a virtual simulation tool, allowing users to test fit before purchasing or manufacturing garments. This approach enhances the accuracy of online clothing selection and customization processes.
16. The non-transitory machine-readable storage medium of claim 15 , wherein the operations further comprise: identifying one or more attributes of the first clothing item; and identifying the second clothing item based on the one or more attributes of the first clothing item.
This invention relates to a system for recommending complementary clothing items using machine-readable storage media. The problem addressed is the difficulty of selecting matching or complementary clothing items, which often requires manual effort or lacks personalization. The solution involves a computer-implemented method that analyzes attributes of a first clothing item and uses those attributes to identify a second clothing item that complements the first. The system may also generate a recommendation score for the second clothing item based on its compatibility with the first. The recommendation process can involve comparing visual features, color schemes, styles, or other attributes extracted from the clothing items. The system may further refine recommendations by considering user preferences, historical data, or external factors like weather or occasion. The storage medium stores instructions that, when executed, perform these operations to provide automated, personalized clothing recommendations. The invention aims to streamline the clothing selection process by leveraging machine learning or pattern recognition techniques to enhance user experience in fashion and retail applications.
17. The non-transitory machine-readable storage medium of claim 16 , wherein the one or more attributes include at least one of a manufacturer, a model, or a size of the first clothing item.
This invention relates to a system for managing and analyzing clothing items using machine-readable storage media. The problem addressed is the difficulty in efficiently organizing, identifying, and retrieving clothing items, particularly in large collections or inventory systems. The solution involves storing and processing data associated with clothing items, including attributes such as manufacturer, model, or size, to facilitate better management and retrieval. The system includes a non-transitory machine-readable storage medium that stores instructions for performing various operations. These operations involve receiving data related to a first clothing item, such as images or other identifiers, and analyzing the data to extract or confirm attributes like manufacturer, model, or size. The system may also compare the first clothing item with a second clothing item to determine compatibility or similarity based on these attributes. Additionally, the system can generate recommendations or suggestions for the first clothing item based on the extracted attributes and other stored data. The system may also include a user interface for displaying the extracted attributes and recommendations, allowing users to interact with the clothing data. The analysis and comparison processes may involve machine learning or other computational techniques to improve accuracy and efficiency. The overall goal is to provide a more organized and intelligent way to manage clothing items, whether for personal use, retail inventory, or other applications.
18. The non-transitory machine-readable storage medium of claim 15 , wherein the input indicates that the first clothing item, and wherein the second clothing item matches the first clothing item based on one or more attributes of the first clothing item.
This invention relates to a machine-readable storage medium for a clothing recommendation system that analyzes and matches clothing items based on their attributes. The system processes input data indicating a first clothing item and identifies a second clothing item that matches the first based on one or more attributes, such as color, style, fabric, or design. The matching process ensures compatibility or coordination between the two items, which can be used for outfit suggestions, virtual try-ons, or inventory management in retail applications. The system may also include a user interface for selecting or inputting clothing items and displaying the matched results. The underlying technology involves image processing, pattern recognition, and machine learning to analyze and compare visual and descriptive attributes of clothing items. The solution addresses the challenge of efficiently matching or coordinating clothing items in digital environments, improving user experience and operational efficiency in fashion-related applications.
19. The non-transitory machine-readable storage medium of claim 15 , wherein the operations further comprise: transmitting a further instruction referencing a description of an internal shape of the second clothing item to the fitting device; and causing the fitting device to adjust according to the description of the internal shape of the second clothing item, the adjusting of the fitting device resulting in a mimicked internal shape of the second clothing item.
This invention relates to a system for simulating the internal shape of clothing items using a fitting device. The problem addressed is the difficulty in accurately assessing how a garment fits without physically trying it on, particularly in terms of internal dimensions and structure. The solution involves a machine-readable storage medium containing instructions for a fitting device to dynamically adjust its internal shape to mimic that of a second clothing item. The system first receives a description of the internal shape of the second clothing item, which may include dimensions, contours, or structural features. The fitting device then adjusts its internal structure based on this description, allowing a user to experience how the second clothing item would fit. This adjustment can involve modifying the device's internal framework, padding, or other components to replicate the internal shape of the garment. The system enables users to evaluate fit and comfort before purchasing or wearing the clothing item, improving the virtual try-on experience. The invention is particularly useful in e-commerce, virtual fitting rooms, or custom garment design.
20. The non-transitory machine-readable storage medium of claim 19 , wherein the operations further comprise: receiving a selection of the recommendation of the second clothing item via the user interface, and wherein the transmitting of the further instruction is performed based on the receiving of the selection of the recommendation of the second clothing item.
This invention relates to a system for recommending and facilitating the purchase of clothing items based on user preferences and interactions. The system operates by analyzing user data, such as past purchases or browsing history, to generate personalized recommendations for additional clothing items that complement a previously selected item. The system presents these recommendations through a user interface, allowing the user to select one or more recommended items. Upon selection, the system automatically transmits instructions to a fulfillment system to process the purchase of the selected recommended item, streamlining the buying process. The system may also track user interactions with the recommendations to refine future suggestions, ensuring relevance and improving user experience. The invention aims to enhance the efficiency of online clothing shopping by reducing the time and effort required to find complementary items, while also increasing the likelihood of additional purchases. The system is implemented using a non-transitory machine-readable storage medium containing executable instructions that perform these operations.
Unknown
August 25, 2020
Browse 5M+ US patents with plain-English claim translations and AI-generated analysis.